Job Description

• Great opportunity to add significant value to Technology, AI & Transformation for the Qantas Group!
• Permanent opportunity based at our Mascot office (hybrid working available)
• Staff Travel Benefits from Day One
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At Qantas, we represent Australia to the world. Our diverse country is known for its unique spirit, mateship, and a can-do attitude. Together we’re strong and resilient, and we work hard to make sure we’re always at our best.

As the Principal AI Platform Engineer you'll be part of the team building the AI platform that the rest of the Group builds on. That means treating the platform as a product and the engineers who use it as your customers: paved paths that make the right way the easy way, self-service onboarding, and guardrails and guidance instead of gatekeeping. Success is measured by adoption and by how rarely teams need you. Data scientists, ML engineers and application teams should be able to onboard, build, deploy and operate their own AI workloads in production without platform team intervention.

You'll be the senior technical voice in the squad. You'll own the technical design of the platform, set the engineering standards and patterns the team builds to, and lift the capability of the engineers around you through design review, pairing and mentoring. It's also a hands-on role: you'll be writing production code, building infrastructure as code and CI/CD pipelines, and operationalising the platform on AWS SageMaker and Bedrock, working alongside the team rather than directing delivery from a distance.

You'll make the platform secure, observable, reproducible and cost-transparent, so teams can see their own consumption and troubleshoot their own workloads, with responsible AI, privacy and security controls built in from the start rather than bolted on. You'll work in a small cross-functional squad led by a Product Owner, partnering with the AI Solution Architect, Cloud Engineer and AI Platform Engineers.